How to connect Google Cloud Speech-To-Text and Phantombuster
Create a New Scenario to Connect Google Cloud Speech-To-Text and Phantombuster
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud Speech-To-Text, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Speech-To-Text or Phantombuster will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Phantombuster, and select the appropriate trigger to start the scenario.

Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

Google Cloud Speech-To-Text
Configure the Google Cloud Speech-To-Text
Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Phantombuster Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Phantombuster from the list of available apps, and choose the action you need from the list of nodes within Phantombuster.

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Authenticate Phantombuster
Now, click the Phantombuster node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Phantombuster settings. Authentication allows you to use Phantombuster through Latenode.
Configure the Google Cloud Speech-To-Text and Phantombuster Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud Speech-To-Text and Phantombuster Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Phantombuster, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud Speech-To-Text and Phantombuster integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Phantombuster (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Speech-To-Text and Phantombuster
Phantombuster + Google Cloud Speech-To-Text + Google Docs: Phantombuster's new output triggers the transcription of audio from a storage location using Google Cloud Speech-To-Text. The resulting transcript is then appended to a Google Docs document for analysis.
Phantombuster + Google Cloud Speech-To-Text + Slack: When Phantombuster finds a new output, Google Cloud Speech-To-Text transcribes the audio and a message containing the transcript is sent to a Slack channel to notify the team.
Google Cloud Speech-To-Text and Phantombuster integration alternatives
About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
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About Phantombuster
Automate web data extraction with Phantombuster in Latenode. Scrape social media, websites, and directories to enrich your workflows. Build scalable lead generation or market research processes by integrating Phantombuster's agents directly into Latenode's visual, no-code environment. Use Latenode’s flexible tools for data transformation and routing.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Phantombuster
How can I connect my Google Cloud Speech-To-Text account to Phantombuster using Latenode?
To connect your Google Cloud Speech-To-Text account to Phantombuster on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and Phantombuster accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe scraped audio from websites?
Yes, you can! Latenode's visual editor makes it easy to automate. Extract audio via Phantombuster, then use Google Cloud Speech-To-Text for transcription and analysis.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Phantombuster?
Integrating Google Cloud Speech-To-Text with Phantombuster allows you to perform various tasks, including:
- Transcribe audio from social media profiles scraped by Phantombuster.
- Analyze spoken keywords in podcasts extracted via Phantombuster.
- Monitor brand mentions in audio content found through Phantombuster.
- Automatically generate subtitles for video content scraped by Phantombuster.
- Extract insights from audio interviews gathered from the web with Phantombuster.
How do I handle large audio files in Latenode?
Latenode allows processing large files via efficient chunking, ensuring even large audio files are handled effectively for transcription.
Are there any limitations to the Google Cloud Speech-To-Text and Phantombuster integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Cloud Speech-To-Text pricing is based on audio duration; costs can increase with large volumes.
- Phantombuster's free plan has scraping limitations that affect workflow volume.
- Transcription accuracy can vary depending on audio quality and language nuances.